Academic Journal
Q1JCO Clinical Cancer Informatics
About JCO Clinical Cancer Informatics
About JCO Clinical Cancer Informatics
JCO Clinical Cancer Informatics is a peer-reviewed scholarly journal published by Lippincott Williams and Wilkins (United States). It focuses on Q1. Publication coverage spans 2017-2026.
Key indicators: ISSN 2473-4276; H-index 46.
Understanding This Journal's Metrics
Journal metrics help researchers assess fit, but they must be interpreted in context:
- H-index (46): 46 articles have each received at least 46 citations, indicating growing recognition.
Publishing in JCO Clinical Cancer Informatics
When considering this journal, verify its current indexing status, editorial board, and recent publications to ensure it meets your needs for visibility and credibility.
- Scope fit: Confirm your research aligns with Q1. Off-scope manuscripts are typically desk-rejected quickly.
- Author guidelines: Follow formatting, reference style, and article-type requirements exactly — non-compliant manuscripts may be returned without review.
- Submission: Submit via the official journal website.
Is This Journal Right for Your Paper?
- Audience match: Will the journal's readers cite and build on your findings?
- Timeline: Higher-tier journals mean longer review and higher rejection risk. Balance prestige against your schedule.
- Indexing: Confirm indexing in Web of Science, Scopus, and PubMed (if biomedical) meets your institutional requirements.
- Open access needs: Check funder mandates and whether the journal offers compliant OA options.
Frequently Asked Questions
What is the ISSN of JCO Clinical Cancer Informatics?
2473-4276.
Who publishes JCO Clinical Cancer Informatics?
Lippincott Williams and Wilkins.
What are JCO Clinical Cancer Informatics's metrics?
H-index 46.
Where do I submit to JCO Clinical Cancer Informatics?
Via the official website.
Is JCO Clinical Cancer Informatics peer-reviewed?
Yes — it is a peer-reviewed scholarly journal indexed in major academic databases.
Source-backed journal facts
Topics in published research
Cancer survivorship and care; Artificial Intelligence in Healthcare and Education; AI in cancer detection; Radiomics and Machine Learning in Medical Imaging; Machine Learning in Healthcare; Cancer Genomics and Diagnostics.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
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Mélanie Guirette, Marissa L. Buchan, Ethan M. Basch, Nancy Buderer et al.
2026-10 · DOI: 10.1200/cci-25-00337Toward Clinically Actionable Prediction of Recurrence and Metastatic Progression in Pancreatic Ductal Adenocarcinoma: A Systematic Review
Liyuan Gong, Cadence Chang, Alice Agyekum, Nitish Aswani et al.
2026-10 · DOI: 10.1200/cci-26-00200eHealth Literacy Among Patients With Cancer in Central Norway
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Swapna Abhyankar, Rajesh M. Rao, Mehraveh Salehi, Jennifer J. Liang et al.
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Pankaj Gupta, Shubham Saini, Anjali Aggarwal, Ajay Gulati et al.
2026-07 · DOI: 10.1200/cci-25-00299Abiraterone or Enzalutamide for Patients With Metastatic Castration-Sensitive Prostate Cancer: A Nationwide Veterans Affairs Study
Jennifer La, Lin Wang, June K. Corrigan, Deborah Lang et al.
2026-07 · DOI: 10.1200/cci-25-00213Patient-Specific Computational Framework to Spatiotemporally Forecast Treatment Response and Identify Biologically Informed Radiotherapy Targets in High-Grade Glioma
Sophia Ty, Jeanne Kowalski, Bikash Panthi, Maguy Farhat et al.
2026-07 · DOI: 10.1200/cci-25-00336Clinical Impact of Mismatch Repair Gene Mutation–Based Alert on Immunotherapy Decision Making Across Patients With Cancer
Andrew H. Kim, Ana Galan-Cobo, Hung Le, Lei Kang et al.
2026-07 · DOI: 10.1200/cci-26-00020Early Unplanned Readmissions and Mortality After Induction Chemotherapy in AML
Sena Chae, Alaa Harb, Grerk Sutamtewagul, Yelena Perkhounkova et al.
2026-07 · DOI: 10.1200/cci-26-00018Enhancing Cancer Outcomes Research Through Vision Language Models for Cause of Death Ascertainment
Enshuo Hsu, Giordana De Las Pozas, Trey Kell, Kirk Roberts et al.
2026-07 · DOI: 10.1200/cci-26-00037Sustainable Community-Wide Model to Enhance Cancer Data Usage and Utility
Emily S. Boja, Mousumi Ghosh, Ying Huang, Tung-Shing Mamie Lih et al.
2026-07 · DOI: 10.1200/cci-26-00123Evaluation of an Artificial Intelligence Communication Platform for Racial Biases in Pretest Education About Prostate Cancer Germline Testing
Johanna Balas, Lauren Bowling, Nonna Shakhnazaryan, Rahul R. Aggarwal et al.
2026-07 · DOI: 10.1200/cci-25-00385Are Limited Electronic Medical Record Follow-Up Data Sufficiently Useful for Validating the Performance of Survival Prediction Models?
Vigneshwar Subramanian, Tyler Raclin, Balasubramanian Narasimhan, Solomon Henry et al.
2026-07 · DOI: 10.1200/cci-26-00105TrajSurv-mPC: Learning From Prostate-Specific Antigen Trajectories for Interpretable and Generalizable Survival Prediction in Metastatic Prostate Cancer
Sihang Zeng, Lukas Owens, Lucas J. Liu, Sigrid Carlsson et al.
2026-07 · DOI: 10.1200/cci-25-00328Consensus-Based Minimum Requirements for the Adoption of a Computational Pathology Algorithm for Tumor Budding in Colorectal Cancer: An Early Health Technology Assessment
Julie E.M. Swillens, Iris D. Nagtegaal, Alessandro Lugli, Jeroen A.W.M. Van der Laak et al.
2026-07 · DOI: 10.1200/cci-26-00034Integrating Natural Language Processing With ChatGPT to Improve Quality of Artificial Intelligence Summaries of Prostate Cancer Consultations
Nadine A. Friedrich, Sanjay K. Das, Michael Luu, James P. Daniels et al.
2026-07 · DOI: 10.1200/cci-25-00199Patient Artificial Intelligence Literacy as a Component of Responsible Artificial Intelligence Implementation
Isabel Preeshagul, Eleonora Teplinsky
2026-07 · DOI: 10.1200/cci-26-00206Enhancing Outcome Measurement in Oncology Clinical Trials Through Artificial Intelligence: A Scoping Review
Rachel Woodford, Sally Lord, Frank Lin, Anthony T. Papenfuss et al.
2026-07 · DOI: 10.1200/cci-26-00014Data Extraction From Oncology Imaging Reports by Large Language Models: A Comparative Accuracy Study
Lea P. Passweg, Johannes M. Schwenke, Christof M. Schönenberger, Flavio Locher et al.
2026-07 · DOI: 10.1200/cci-26-00002Reviews
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Version History
October 9, 2026 at 8:08 pm
September 25, 2026